The development of the SOLution-oriented, STudent-Intiated, Computationally-Enriched (SOLSTICE) project-based teaching and learning approach is funded by the National Science Foundation's (NSF) Innovations in Graduate Education (IGE) Program. This project aims to teach graduate students to solve complex problems, think critically, and effectively communicate across inter-generational, trans-disciplinary research terms. Using a data-intensive, project-based learning approach, graduate students work collaboratively to design, evaluate, and disseminate research in team environments. As data scientists, these students will learn how to pose research questions, translate information into potential actions, develop data collection, analysis and visualization schemes and protocols, and exchange information, data methods, and results in a tailored manner to various audiences.
- Principal Investigators (PIs)
- Dr. Elena Naumova, Chair of the Department of Nutrition Epidemiology and Data Science, Tufts Friedman School of Nutrition Science and Policy
- Dr. Barbara Brizuela, Dean of Academic Affairs, Tufts University School of Arts and Sciences
- Dr. Remco Chang, Associate Professor in the Department of Computer Science, Tufts School of Engineering.
- Research Coordinators (RC)
- Ryan Simpson, PhD Candidate, Nutrition Epidemiology and Data Science, Tufts Friedman School of Nutrition Science and Policy
